¶óÆæÆ®¦¢Ä«Æä¦¢ºí·Î±×¦¢´õº¸±â
¾ÆÄ«µ¥¹Ì Ȩ ¸í»çƯ°­ ´ëÇבּ¸½Ç޹æ Á¶°æ½Ç¹« µ¿¿µ»ó°­ÀÇ Çѱ¹ÀÇ ÀüÅëÁ¤¿ø ÇÐȸº° ³í¹®
ÇÐȸº° ³í¹®

Çѱ¹°Ç¼³°ü¸®ÇÐȸ
Çѱ¹°ÇÃà½Ã°øÇÐȸ
Çѱ¹µµ·ÎÇÐȸ
Çѱ¹»ý¹°È¯°æÁ¶ÀýÇÐȸ
Çѱ¹»ýÅÂÇÐȸ
Çѱ¹¼öÀÚ¿øÇÐȸ
Çѱ¹½Ä¹°ÇÐȸ
Çѱ¹½Ç³»µðÀÚÀÎÇÐȸ
Çѱ¹ÀÚ¿ø½Ä¹°ÇÐȸ
Çѱ¹ÀܵðÇÐȸ
Çѱ¹Á¶°æÇÐȸ
Çѱ¹Áö¹Ý°øÇÐȸ
Çѱ¹ÇÏõȣ¼öÇÐȸ
Çѱ¹È¯°æ»ý¹°ÇÐȸ
Çѱ¹È¯°æ»ýÅÂÇÐȸ

Çѱ¹¼öÀÚ¿øÇÐȸ / v.28, no.2, 1995³â, pp.125-136
ÅÊÅ©¸ðÇüÀÇ ¸Å°³º¯¼öÃßÁ¤À» À§ÇÑ »óŰø°£¸ðÇüÀÇ °áÁ¤
( Determination of State-Space Model for Parameter Estimation of Tank Model )
À̰ü¼ö;ÀÌ¿µ¼®;Á¤Àϱ¤; Àü³²´ëÇб³ Åä¸ñ°øÇаú;±¤ÁÖ´ëÇб³ Åä¸ñ°øÇаú;¸ñÆ÷Àü¹®´ëÇÐ Åä¸ñ°ú;
 
ÃÊ ·Ï
º» ¿¬±¸ÀÇ ¸ñÀûÀº ÅÊÅ©¸ðÇüÀÇ ¸Å°³º¯¼ö¸¦ ½ÃÇàÂø¿À¹üÀ¸·Î »êÁ¤ÇÒ °æ¿ì, ºÒÈ®½Ç¼ºÀ» °³¼±Çϱâ À§ÇØ Kalman filter·Î ¸Å°³º¯¼ö¸¦ ½Ç½Ã°£ ¿¹ÃøÇÏ¿© Àú¼öÀ¯ÃâÀÇ ¿¹Ãø¿¡ È¿°úÀûÀÎ ¾Ë°í¸®ÁòÀ» ¾ò°íÀÚ ÇÏ¿´´Ù. À¯¿ªÆ¯¼ºÀ» ´Ù¾çÇÑ ±¸Á¶·Î ³ªÅ¸³¾ ¼ö ÀÖ´Â ÅÊÅ©¸ðÇüÀº °¢ ´Ü ÅÊÅ©¿¡ ºÎÂøµÈ À¯Ãâ°øÀ¸·ÎºÎÅÍ À¯ÃâÇÑ ÃÑ À¯Ãâ·®ÀÌ °üÃøÀ¯·®¿¡ À¯»çÇÏ°Ô ³ªÅ¸³ª¾ß ÇÏÁö¸¸ À¯Ãâȯ°æÀÇ ¿µÇâÀ¸·Î ¼ö·Å¼ºÀÌ ÁÁÁö ¾Ê¾Ò´Ù. ÀÌ·¯ÇÑÀ» º¸¿ÏÇϱâ À§ÇÏ¿© ÅÊÅ©¸ðÇüÀÇ ¸Å°³º¯¼ö¸¦ Kalman filterÀÇ »óŰø°£ ¸ðÇü¿¡ ÀÇÇÏ¿© ½Ç½Ã°£À¸·Î ÃßÁ¤ÇÑ °á°ú, ½Ã°£ °æ°ú¿¡ µû¶ó ÃßÁ¤Ä¡¿Í °üÃøÄ¡ÀÇ ¼ö·Åµµ°¡ ³ô¾Æ ÀÏÁ¤ÇÑ °ªÀ» À¯ÁöÇÏ¿´À¸¸ç, À̶§ÀÇ À¯Ãâȯ°æÀ» ³ªÅ¸³»´Â »óŰø°£ÀÇ ¸Å°³º¯¼öº¯È­°¡ Á¤ÀûÀÓÀ» ¾Ë ¼ö ÀÖ¾ú´Ù. µû¶ó¼­ Kalman filter¿¡ ÀÇÇÑ ÅÊÅ©¸ðÇüÀÇ ¸Å°³º¯¼ö ÃßÁ¤±â¹ýÀº Àú¼öÀ¯Ãâ ¿¹Ãø¿¡ ƯÈ÷ È¿À²¼ºÀÌ ÁÁ¾ÒÀ¸¸ç À¯·®ÀÌ ±Þº¯ÇÏ´Â °÷¿¡¼­µµ ¾î´À Á¤µµ ÀûÀÀÇÏ¿© ±âÁ¸ ÅÊÅ©¸ðÇüÀÇ ±¸Á¶¸¦ ÀÚµ¿±â¹ýÀ¸·Î Á¤ÇÏ´Â ¿¹Ãø½Ã½ºÅÛ º¸´Ù À¯Ãâ¿¹Ãø ½Ã½ºÅÛ¿¡ ÀÇÇÑ ÅÊÅ©¸ðÇüÀÇ ±¸Á¶Àû ¾Ë°í¸®ÁòÀÌ ÀûÇÕÇÑ ¸ðÇüÀÓÀ» ÀÔÁõÇÏ¿´´Ù.
The propose of this study is improve the uncertainty of parameter choice of tank model by the trials and errors method. The real time prediction of parameter by using the Kalman filter is practiced to get the effective prediction algorithm of low flow runoff. Even though the total discharge of runoff through the orifice of each tank should be similar to the observed discharge, the tank model which can show the various basin characteristic is influenced by the runoff circumstances. As a result of the real-time estimation of the tank model parameter by the state-space type of Kalman filter, the variation of runoff circumstances is static when the convergence of observed value and estimated value keeps the ficed high point. The parameter of tank model which is estimated by Kalman filter shows good result for low flow and reasonable adaptability where flow change abruptly. The Kalman filter method is proved to give better result than Automatic structure estimation method.
 
Ű¿öµå
 
Çѱ¹¼öÀÚ¿øÇÐȸÁö / v.28, no.2, 1995³â, pp.125-136
Çѱ¹¼öÀÚ¿øÇÐȸ
ISSN : 1738-9488
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO199511920095531)
¾ð¾î : Çѱ¹¾î
³í¹® Á¦°ø : KISTI Çѱ¹°úÇбâ¼úÁ¤º¸¿¬±¸¿ø
¸ñ·Ïº¸±â
ȸ»ç¼Ò°³ ±¤°í¾È³» ÀÌ¿ë¾à°ü °³ÀÎÁ¤º¸Ãë±Þ¹æÄ§ Ã¥ÀÓÀÇ ÇѰè¿Í ¹ýÀû°íÁö À̸ÞÀÏÁÖ¼Ò ¹«´Ü¼öÁý °ÅºÎ °í°´¼¾ÅÍ
   

ÇÏÀ§¹è³ÊÀ̵¿